MLPerf

RT @MLCommons: We've just released @MLPerf Mobile version 5.0.2 on the Google Play Store and GitHub. This version adds support for devices based on the Samsung Exynos 2500 SoC.

RT @MLCommons: @MLCommons & @AVCConsortium announce @MLPerf Automotive v0.5 benchmark results—a major step for transparent, reproducible automotive AI performance data.

RT @HPCwire: Guess who was named an AI inference leader in the latest @MLPerf results released by MLCommons?

RT @TheKanter: On a personal level, I loved seeing .@MLPerf being mentioned so much! I can’t wait to see more submissions from across the industry as we push for the next 1000x in machine learning performance.

RT @nutanix: @MLCommons @MLPerf The Perf Storage Benchmark Suite will be a critical resource in improving machine learning and we’re honored to have participated alongside these industry leaders and academic organizations!

RT @TechJournalist: Inference keeps getting faster ... and more demanding. @MLCommons MLPerf Inference 3.1 adds large language model benchmarks for inference via @VentureBeat "“We’re evolving the benchmark suite to reflect what’s going on,” @TheKanter said.

RT @MLCommons: @MLCommons, we just released! New @MLPerf Inference and Storage results. Record participation in MLPerf Inference v3.1 and first-time MLPerf Storage v0.5 results highlight the growing importance of GenAI and storage. See all the results and learn more

RT @intelcapital: AI semiconductor company @Syntiantcorp announced its Syntiant Core 2™ programmable #deeplearning #architecture ranked as utilizing the lowest power #energy across three categories in @MLCommons @MLPerf Tiny v1.1 benchmark suite. Read more about energy performance below:

Great news! Our second-generation architecture achieved the lowest power energy performance across three categories in the most recent @MLCommons @MLPerf Tiny v1.1 benchmark suite. Click to read the full results. #edgeAI #tinyML

RT @MLCommons: If you are at the @databricks Data+AI Summit this week be sure to check out @MLCommons Exec Director @TheKanter's session - Advancing ML Through Benchmarks & Data, Thursday, June 29 at 2:30pm

RT @MLCommons: Calling all ISC attendees, stop by the @MLPerf roundtable 5/24 at 9am, Hall E - 2nd floor, to learn more about the MLPerf HPC benchmark suite V3.0 from the experts who created it. #mlcommons #MachineLearning #ISC23

Can you train a large language model? We’re adding GPT3 to MLPerf Training v3.0, so show us what you’ve got in Q2! Let the games begin 🥳🎉🎈🎊

Driving ML Forward in Automotive - David Kanter - 2023 CASPA Spring Symp... via @YouTube

RT @HPCwire: MLCommons: MLPerf Inference Delivers Power Efficiency and Performance Gains #HPC @MLCommons @MLPerf

RT @RedHat_AI: Learn about the business implications and check out the technical details of our @MLPerf submission in our blog.

RT @sallywf: .@MLPerf inference results are out! Two startups took on @nvidia and won (albeit for perf/Watt, and only in certain specific scenarios): Taiwan's Neuchips and Silicon Valley's SiMa. @Qualcomm also has some perf/Watt wins against H100 this time. #mlperf #ai

RT @markurtz_: New @MLPerf inference results from us at @neuralmagic are now up! We show 1,000x performance improvements and 92% reduction in energy consumption. Dive into the blog to learn more: #mlops #mlperf #ml

RT @IntelDevTools: With the Intel #oneAPI tools and optimized #AI frameworks #deeplearning inference and training saw significant performance gains on the latest Intel Xeon CPU Max Series. Learn more: #DL #CPU @MLPerf @TensorFlow @PyTorch @IntelAI

RT @ST_World: [News from the #STBlog: We recently joined @MLCommons and released new @MLPerf Tiny results. See why the benchmark helps advance machine learning at the edge. @TheKanter

RT @DrHaiAhNam: So excited at #SC22 to see which team will win the @SCCompSC. Teams are working hard benchmarking #HPL #HPCG #IO500 #AI before the application workload kick off at the gala tonight. Thanks @MLPerf @MLCommons @grigori_fursin @OctoML for the #AI benchmark.

RT @OnlineInference: 🚀 The results are in! 📊 @MLPerf Results Published For November 9th Benchmarking Rounds | via @wandb